code: def param_blobs(self):
      if self.output_dim_vec is None or len(self.output_dim_vec) == 1:
          return [self.w, self.b]
      else:
          return self.w_vec + self.b_vec
  
file_path: pytorch/caffe2/python/layers/fc.py
imports: from caffe2.python.helpers.arg_scope import get_current_scope
  from caffe2.python import schema
  from caffe2.python.layers.layers import ModelLayer
  from caffe2.python.layers.sampling_trainable_mixin import SamplingTrainableMixin
  import math
  import numpy
label_desc: Use image node_id 8 for calling the FC obj's underlying member method code with example usage: obj.param_blobs() and returns: list, unknown